Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/14681
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dc.contributor.authorCvetkoska, Violetaen_US
dc.contributor.authorSavic, Gordanaen_US
dc.date.accessioned2021-09-13T13:22:23Z-
dc.date.available2021-09-13T13:22:23Z-
dc.date.issued2021-08-17-
dc.identifier.citationVioleta Cvetkoska and Gordana Savic (2021), "DEA in Banking: Analysis and Visualization of Bibliometric Data", Data Envelopment Analysis Journal: Vol. 5: No. 2, pp 455-485. http://dx.doi.org/10.1561/103.00000044en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12188/14681-
dc.description.abstractData Envelopment Analysis (DEA) is a popular non-parametric frontier methodology for measuring the efficiency of decision-making units (DMUs). DEA has been used widely in the banking industry. There is no reference to country co-authorship and keywords co-occurrence network visualization of DEA in the banking literature. In this study, we examine the DEA literature in banking, taking into account articles published in peer-reviewed journals listed in the Scopus database. We have performed an analysis and visualization of bibliometric data related to 791 DEA articles in banking in the period of 34 years (1986-2019). We show the annual trends of published DEA banking articles, the top journals and authors, citation analysis, and country co-authorship. We have also performed an in-depth keyword visualization analysis and discussed the future trends of DEA in banking.en_US
dc.language.isoen_USen_US
dc.publisherNow Publishers, Bostonen_US
dc.relation.ispartofData Envelopment Analysis Journalen_US
dc.subjectData Envelopment Analysis; banking; bibliometric data; visualization.en_US
dc.titleDEA IN BANKING: ANALYSIS AND VISUALIZATION OF BIBLIOMETRIC DATAen_US
dc.typeJournal Articleen_US
dc.identifier.doiDOI:10.1561/103.00000044-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Economics-
Appears in Collections:Faculty of Economics 03: Journal Articles / Статии во научни списанија
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